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The effects of public policy programmes which aim at internalising spill-overs due to successful innovation are analysed in a sequential double-sided moral hazard double-sided adverse selection framework. The central focus lies in analysing their impact on contract design. We show that in our framework only ex post grants are a robust instrument for implementing the first-best situation, whereas the success of guarantee programmes, ex ante grants and some public-private partnerships depends strongly on the characteristics of the project: in certain cases they not only give no further incentives but even destroy contract mechanisms and so worsen the outcome.
The effects of public policy programmes which aim at internalising spill-overs due to successful innovation are analysed in a sequential double-sided moral hazard double-sided adverse selection framework. The central focus lies in analysing their impact on contract design. We show that in our framework only ex post grants are a robust instrument for implementing the first-best situation, whereas the success of guarantee programmes, ex ante grants and some public-private partnerships depends strongly on the characteristics of the project: in certain cases they not only give no further incentives but even destroy contract mechanisms and so worsen the outcome.
Over-allotment arrangements are nowadays part of almost any initial public offering. The underwriting banks borrow stocks from the previous shareholders to issue more than the initially announced number of shares. This is combined with the option to cover this short position at the issue price. We present empirical evidence on the value of these arrangements to the underwriters of initial public offerings on the Neuer Markt. The over-allotment arrangement is regarded as a portfolio of a long call option and a short position in a forward contract on the stock, which is different from other approaches presented in the literature.
Given the economically substantial values for these option- like claims we try to identify benefits to previous shareholders or new investors when the company is using this instrument in the process of going public. Although we carefully control for potential endogeneity problems, we find virtually no evidence for a reduction in underpricing for firms using over-allotment arrangements. Furthermore, we do not find evidence for more pronounced price stabilization activities or better aftermarket performance for firms granting an over-allotment arrangement to the underwriting banks.
EFM Classification: 230, 410
The recent financial crisis highlighted the limits of the "originate to distribute" model of banking, but its nexus with the macroeconomy remains unexplored. I build a business cycle model with banks engaging in credit risk transfer (CRT) under informational externalities. Markets for CRT provide liquidity insurance to banks, but the emergence of a pooling equilibrium can also impair the banks’ monitoring incentives. In normal times and in face of standard macro shocks the insurance benefits of CRT prevail and the business cycle is stabilized. In face of financial/liquidity shocks the extent of informational asymmetries is larger and the business cycle is amplified. The macro model with CRT can also reproduce well a number of macro and banking statistics over the period of rapid growth of this banks’ business model.
On 23 July 2014, the U.S. Securities and Exchange Commission (SEC) passed the “Money Market Reform: Amendments to Form PF ,” designed to prevent investor runs on money market mutual funds such as those experienced in institutional prime funds following the bankruptcy of Lehman Brothers. The present article evaluates the reform choices in the U.S. and draws conclusions for the proposed EU regulation of money market funds.
Can a tightening of the bank resolution regime lead to more prudent bank behavior? This policy paper reviews arguments for why this could be the case and presents evidence linking changes in bank resolution regimes with bank risk-taking. The authors find that the tightening of bank resolution in the U.S. (i.e., the introduction of the Orderly Liquidation Authority) significantly decreased overall risk-taking of the most affected banks. This effect, however, does not hold for the largest and most systemically important banks – too-big-to-fail seems to be unresolved. Building on the insights from the U.S. experience, the authors derive principles for effective resolution regimes and evaluate the emerging resolution regime for Europe.
Da Public Private Partnerships (PPPs) nicht den Beschränkungen der deutschen Schuldenbremse unterliegen, können diese der Politik als Mittel dienen, Lasten in die Zukunft zu verschieben, ohne dabei den Verschuldungsgrad zu erhöhen. Der vorliegende Beitrag beschreibt Vor- und Nachteile von PPP-Konstrukten im Rahmen der öffentlichen Auftragsvergabe. Alfons Weichenrieder argumentiert, dass bei der Wahl von PPP-Instrumenten die Effizienz der Bereitstellung von öffentlicher Infrastruktur und Dienstleistungen im Vordergrund stehen sollte. Die Budgetregeln könnten so angepasst werden, dass das Motiv der Schuldenverschleierung nicht vordergründig die Wahl von PPP-Konstrukten bestimmt.
Das Financial Stability Board (FSB) schlägt zur Lösung des "too big to fail"-Problems einen neuen Risikokapital-Puffer für global tätige systemrelevante Banken vor. Die Kennzahl „Total Loss Absorbing Capacity“ (TLAC), setzt sich zusammen aus hartem Kernkapital und verlustabsorbierendem Fremdkapital. Das verlustabsorbierende, also bail-in-fähige Fremdkapital soll vor anderen Positionen der Passivseite einer Bank in einer Krisensituation vorrangig haften oder aber in Eigenkapital umgewandelt werden. Jan Krahnen argumentiert, dass es für eine glaubhafte Verringerung des "too big to fail"-Problems auf die Anforderungen an das verlustabsorbierende Fremdkapital ankommt. Dass die Aufsicht die Halter von Bail-in Anleihen im Verlustfall tatsächlich einem Bail-in unterzieht ist vor allem nur dann glaubwürdig, wennn andere Banken nicht die Halter solcher Anleihen sind.
A recent proposal by the Financial Stability Board (FSB) suggests a new risk capital buffer for globally operating systemically important financial institutions. The suggested metric, “Total Loss Absorbing Capacity“ (TLAC), is composed of Tier-1 capital and loss absorbing debt. In a crisis situation, “bail-in-able” debt is to be written down or converted into equity. Jan Krahnen argues that the credibility of bail-in, in the case of systemically important financial institutions, hinges crucially on the design of TLAC and the requirements that will be placed on loss absorbing “bail-in-able” debt.The fear of direct systemic consequences through bail-in could be overcome, if a holding ban were placed on the “bail-in-bonds” of financial institutions. The holding ban would stipulate that these bonds cannot be held by other institutions within the banking sector.
Recent empirical research suggests that measures of investor sentiment have predictive power for future stock returns over the intermediate and long term. Given the widespread publication of sentiment indicators, smart investors should trade on the information conveyed by such indicators and thus trigger an immediate market response to their publication. The present paper is the first to empirically analyze whether an immediate response can be identified from the data. We use survey-based sentiment indicators from two countries (Germany and the US). Consistent with previous research we find there is predictability at intermediate time horizons. For the US, however, the predictability all but disappears after 1994. Using event study methodology we find that the publication of sentiment indicators affects market returns. The sign of the immediate response is the same as that of the predictability over the intermediate term. This finding is consistent with the idea that sentiment is related to mispricing, but is inconsistent with the idea that the sentiment indicator provides information about future expected returns.
Recent empirical research suggests that measures of investor sentiment have predictive power for future stock returns at intermediate and long horizons. Given that sentiment indicators are widely published, smart investors should exploit the information conveyed by the indicator and thus trigger an immediate market response to the publication of the sentiment indicator. The present paper is the first to empirically analyze whether this immediate response can be identified in the data. We use survey-based sentiment indicators from two countries (Germany and the US). Consistent with previous research we find predictability at intermediate horizons. However, the predictability in the US largely disappears after 1994. Using event study methodology we find that the publication of sentiment indicators affects market returns. The sign of this immediate response is the same as the sign of the intermediate horizon predictability. This is consistent with sentiment being related to mispricing but is inconsistent with the sentiment indicator providing information about future expected returns.
JEL-Classification: G12, G14
We characterize optimal redistribution in a dynastic family model with human capital. We show how a government can improve the trade-off between equality and incentives by changing the amount of observable human capital. We provide an intuitive decomposition for the wedge between human-capital investment in the laissez faire and the social optimum. This wedge differs from the wedge for bequests because human capital carries risk: its returns depend on the non-diversi
able risk of children's ability. Thus, human capital investment is encouraged more than bequests in the social optimum if human capital is a bad hedge for consumption risk.
Money is more than memory
(2014)
Impersonal exchange is the hallmark of an advanced society. One key institution for impersonal exchange is money, which economic theory considers just a primitive arrangement for monitoring past conduct in society. If so, then a public record of past actions — or memory — supersedes the function performed by money. This intriguing theoretical postulate remains untested. In an experiment, we show that the suggested functional equality between money and memory does not translate into an empirical equivalence. Monetary systems perform a richer set of functions than just revealing past behaviors, which proves to be crucial in promoting large-scale cooperation.
Emotions-at-risk: an experimental investigation into emotions, option prices and risk perception
(2014)
This paper experimentally investigates how emotions are associated with option prices and risk perception. Using a binary lottery, we find evidence that the emotion ‘surprise’ plays a significant role in the negative correlation between lottery returns and estimates of the price of a put option. Our findings shed new light on various existing theories on emotions and affect. We find gratitude, admiration, and joy to be positively associated with risk perception, although the affect heuristic predicts a negative association. In contrast with the predictions of the appraisal tendency framework (ATF), we document a negative correlation between option price and surprise for lottery winners. Finally, the results show that the option price is not associated with risk perception as commonly used in psychology.
This chapter analyzes the risk and return characteristics of investments in artists from the Middle East and Northern Africa (MENA) region over the sample period 2000 to 2012. With hedonic regression modeling we create an annual index that is based on 3,544 paintings created by 663 MENA artists. Our empirical results prove that investing in such a hypothetical index provides strong financial returns. While the results show an exponential growth in sales since 2006, the geometric annual return of the MENA art index is a stable13.9 percent over the whole period. We conclude that investing in MENA paintings would have been profitable but also note that we examined the performance of an emerging art market that has only seen an upward trend without any correction, yet.
The record-breaking prices observed in the art market over the last three years raise the question of whether we are experiencing a speculative bubble. Given the difficulty to determine the fundamental value of artworks, we apply a right-tailed unit root test with forward recursive regressions (SADF test) to detect explosive behaviors directly in the time series of four different art market segments (“Impressionist and Modern”, “Post-war and Contemporary”, “American”, and “Latin American”) for the period from 1970 to 2013. We identify two historical speculative bubbles and find an explosive movement in today’s “Post-war and Contemporary” and “American” fine art market segments.
This paper investigates the impact of news media sentiment on financial market returns and volatility in the long-term. We hypothesize that the way the media formulate and present news to the public produces different perceptions and, thus, incurs different investor behavior. To analyze such framing effects we distinguish between optimistic and pessimistic news frames. We construct a monthly media sentiment indicator by taking the ratio of the number of newspaper articles that contain predetermined negative words to the number of newspaper articles that contain predetermined positive words in the headline and/or the lead paragraph. Our results indicate that pessimistic news media sentiment is positively related to global market volatility and negatively related to global market returns 12 to 24 months in advance. We show that our media sentiment indicator reflects very well the financial market crises and pricing bubbles over the past 20 years.
Since the 2008 financial crisis, in which the Reserve Primary Fund “broke the buck,” money market funds (MMFs) have been the subject of ongoing policy debate. Many commentators view MMFs as a key contributor to the crisis because widespread redemption demands during the days following the Lehman bankruptcy contributed to a freeze in the credit markets. In response, MMFs were deemed a component of the nefarious shadow banking industry and targeted for regulatory reform. The Securities and Exchange Commission’s (SEC) misguided 2014 reforms responded by potentially exacerbating MMF fragility while potentially crippling large segments of the MMF industry.
Determining the appropriate approach to MMF reform has been difficult. Banks regulators supported requiring MMFs to trade at a floating net asset value (NAV) rather than a stable $1 share price. By definition, a floating NAV prevents MMFs from breaking the buck but is unlikely to eliminate the risk of large redemptions in a time of crisis. Other reform proposals have similar shortcomings. More fundamentally, the SEC’s reforms may substantially reduce the utility of MMFs for many investors, which could, in turn, affect the availability of short term credit.
The shape of MMF reform has been influenced by a turf war among regulators as the SEC has battled with bank regulators both about the need for additional reforms and about the structure and timing of those reforms. Bank regulators have been influential in shaping the terms of the debate by using banking rhetoric to frame the narrative of MMF fragility. This rhetoric masks a critical difference between banks and MMFs – asset segregation. Unlike banks, MMF sponsors have assets and operations that are separate from the assets of the MMF itself. This difference has caused the SEC to mistake sponsor support as a weakness rather than a key stability-enhancing feature. As a result, the SEC mistakenly adopted reforms that burden sponsor support instead of encouraging it.
As this article explains, required sponsor support offers a novel and simple regulatory solution to MMF fragility. Accordingly this article proposes that the SEC require MMF sponsors explicitly to guarantee the $1 share price. Taking sponsor support out of the shadows embraces rather than ignores the advantage that MMFs offer over banks through asset partitioning. At the same time, sponsor support harnesses market discipline as a constraint against MMF risk-taking and moral hazard.
How much additional tax revenue can the government generate by increasing labor income taxes? In this paper we provide a quantitative answer to this question, and study the importance of the progressivity of the tax schedule for the ability of the government to generate tax revenues. We develop a rich overlapping generations model featuring an explicit family structure, extensive and intensive margins of labor supply, endogenous accumulation of labor market experience as well as standard intertemporal consumption-savings choices in the presence of uninsurable idiosyncratic labor productivity risk. We calibrate the model to US macro, micro and tax data and characterize the labor income tax Laffer curve under the current choice of the progressivity of the labor income tax code as well as when varying progressivity. We find that more progressive labor income taxes significantly reduce tax revenues. For the US, converting to a flat tax code raises the peak of the Laffer curve by 6%, whereas converting to a tax system with progressivity similar to Denmark would lower the peak by 7%. We also show that, relative to a representative agent economy tax revenues are less sensitive to the progressivity of the tax code in our economy. This finding is due to the fact that labor supply of two earner households is less elastic (along the intensive margin) and the endogenous accumulation of labor market experience makes labor supply of females less elastic (around the extensive margin) to changes in tax progressivity.
US data and new stockholding data from fifteen European countries and China exhibit a common pattern: stockholding shares increase in household income and wealth. Yet, there is a multitude of numbers to match through models. Using a single utility function across households (parsimony), we suggest a strategy for fitting stockholding numbers, while replicating that saving rates increase in wealth, too. The key is introducing subsistence consumption to an Epstein-Zin-Weil utility function, creating endogenous risk-aversion differences across rich and poor. A closed-form solution for the model with insurable labor-income risk serves as calibration guide for numerical simulations with uninsurable labor-income risk.